{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,2]],"date-time":"2026-08-02T19:49:31Z","timestamp":1785700171026,"version":"3.56.0"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,8,2]]},"DOI":"10.7759\/cureus.113804","type":"journal-article","created":{"date-parts":[[2026,8,2]],"date-time":"2026-08-02T19:12:18Z","timestamp":1785697938000},"source":"Crossref","is-referenced-by-count":0,"title":["Readiness and Perception Toward Artificial Intelligence Among Undergraduate Medical Students at a Tertiary Care Teaching Institute: A Cross-Sectional Study"],"prefix":"10.7759","author":[{"given":"Kumarjiv K","family":"Shreshthi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaykumar H","family":"Nimavat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Milindkumar H","family":"Makwana","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pratik K","family":"Jasani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kishor M","family":"Sochaliya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meghadeepsinh I","family":"Chudasama","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.7861\/fhj.2021-0095","article-title":"Artificial intelligence in healthcare: transforming the practice of medicine","volume":"8","author":"Bajwa J","year":"2021","unstructured":"Bajwa J, Munir U, Nori A, Williams B. Artificial intelligence in healthcare: transforming the practice of medicine. Future Healthc J. 2021, 8:e188-94. 10.7861\/fhj.2021-0095","journal-title":"Future Healthc J"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.gaceta.2020.12.019","article-title":"Artificial intelligence in healthcare: opportunities and risk for future","volume":"35 Suppl 1","author":"Sunarti S","year":"2021","unstructured":"Sunarti S, Fadzlul Rahman F, Naufal M, Risky M, Febriyanto K, Masnina R. Artificial intelligence in healthcare: opportunities and risk for future. Gac Sanit. 2021, 35 Suppl 1:S67-70. 10.1016\/j.gaceta.2020.12.019","journal-title":"Gac Sanit"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.techsoc.2023.102443","article-title":"Artificial intelligence in healthcare institutions: a systematic literature review on influencing factors","volume":"76","author":"Roppelt JS","year":"2024","unstructured":"Roppelt JS, Kanbach DK, Kraus S. Artificial intelligence in healthcare institutions: a systematic literature review on influencing factors. Technol Soc. 2024, 76:102443. 10.1016\/j.techsoc.2023.102443","journal-title":"Technol Soc"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/nature21056","article-title":"Dermatologist-level classification of skin cancer with deep neural networks","volume":"542","author":"Esteva A","year":"2017","unstructured":"Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017, 542:115-8. 10.1038\/nature21056","journal-title":"Nature"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0300-7","article-title":"High-performance medicine: the convergence of human and artificial intelligence","volume":"25","author":"Topol EJ","year":"2019","unstructured":"Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019, 25:44-56. 10.1038\/s41591-018-0300-7","journal-title":"Nat Med"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-021-07781-5","article-title":"An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude","volume":"31","author":"Huisman M","year":"2021","unstructured":"Huisman M, Ranschaert E, Parker W, et al.. An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude. Eur Radiol. 2021, 31:7058-66. 10.1007\/s00330-021-07781-5","journal-title":"Eur Radiol"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.4258\/hir.2023.29.4.315","article-title":"Requirements for trustworthy artificial intelligence and its application in healthcare","volume":"29","author":"Kim M","year":"2023","unstructured":"Kim M, Sohn H, Choi S, Kim S. Requirements for trustworthy artificial intelligence and its application in healthcare. Healthc Inform Res. 2023, 29:315-22. 10.4258\/hir.2023.29.4.315","journal-title":"Healthc Inform Res"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41415-023-5845-2","article-title":"Artificial intelligence in healthcare and education","volume":"234","author":"Dave M","year":"2023","unstructured":"Dave M, Patel N. Artificial intelligence in healthcare and education. Br Dent J. 2023, 234:761-4. 10.1038\/s41415-023-5845-2","journal-title":"Br Dent J"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.28945\/5078","article-title":"The impact of artificial intelligence on workers\u2019 skills: upskilling and reskilling in organisations","volume":"26","author":"Morandini S","year":"2023","unstructured":"Morandini S, Fraboni F, De Angelis M, Puzzo G, Giusino D, Pietrantoni L. The impact of artificial intelligence on workers\u2019 skills: upskilling and reskilling in organisations. Inf Sci. 2023, 26:39-68. 10.28945\/5078","journal-title":"Inf Sci"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1080\/2331186X.2024.2396704","article-title":"Exploring medical student\u2019s outlook on use of artificial intelligence in medical education: a multicentric cross-sectional study in Jharkhand, India","volume":"11","author":"Ahmad N","year":"2024","unstructured":"Ahmad N, Chakraborty H, Sinha R. Exploring medical student\u2019s outlook on use of artificial intelligence in medical education: a multicentric cross-sectional study in Jharkhand, India. Cogent Educ. 2024, 11:2396704. 10.1080\/2331186X.2024.2396704","journal-title":"Cogent Educ"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1177\/23821205211024078","article-title":"Are we ready to integrate artificial intelligence literacy into medical school curriculum: students and faculty survey","volume":"8","author":"Wood EA","year":"2021","unstructured":"Wood EA, Ange BL, Miller DD. Are we ready to integrate artificial intelligence literacy into medical school curriculum: students and faculty survey. J Med Educ Curric Dev. 2021, 8:23821205211024078. 10.1177\/23821205211024078","journal-title":"J Med Educ Curric Dev"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1186\/s12909-021-02546-6","article-title":"Medical artificial intelligence readiness scale for medical students (MAIRS-MS) - development, validity and reliability study","volume":"21","author":"Karaca O","year":"2021","unstructured":"Karaca O, \u00c7al\u0131\u015fkan SA, Demir K. Medical artificial intelligence readiness scale for medical students (MAIRS-MS) - development, validity and reliability study. BMC Med Educ. 2021, 21:112. 10.1186\/s12909-021-02546-6","journal-title":"BMC Med Educ"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1186\/s13244-019-0830-7","article-title":"Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey","volume":"11","author":"Sit C","year":"2020","unstructured":"Sit C, Srinivasan R, Amlani A, Muthuswamy K, Azam A, Monzon L, Poon DS. Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey. Insights Imaging. 2020, 11:14. 10.1186\/s13244-019-0830-7","journal-title":"Insights Imaging"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1186\/s12909-024-06058-x","article-title":"Readiness, knowledge, and perception towards artificial intelligence of medical students at faculty of medicine, Pelita Harapan University, Indonesia: a cross sectional study","volume":"24","author":"Lugito NP","year":"2024","unstructured":"Lugito NP, Cucunawangsih C, Suryadinata N, et al.. Readiness, knowledge, and perception towards artificial intelligence of medical students at faculty of medicine, Pelita Harapan University, Indonesia: a cross sectional study. BMC Med Educ. 2024, 24:1044. 10.1186\/s12909-024-06058-x","journal-title":"BMC Med Educ"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1177\/23821205231201164","article-title":"Malaysian medical students\u2019 attitudes and readiness toward AI (artificial intelligence): a cross-sectional study","volume":"10","author":"Tung AY","year":"2023","unstructured":"Tung AY, Dong LW. Malaysian medical students\u2019 attitudes and readiness toward AI (artificial intelligence): a cross-sectional study. J Med Educ Curric Dev. 2023, 10:23821205231201164. 10.1177\/23821205231201164","journal-title":"J Med Educ Curric Dev"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1186\/s12909-025-07008-x","article-title":"Assessing medical students' readiness for artificial intelligence after pre-clinical training","volume":"25","author":"AlZaabi A","year":"2025","unstructured":"AlZaabi A, Masters K. Assessing medical students' readiness for artificial intelligence after pre-clinical training. BMC Med Educ. 2025, 25:824. 10.1186\/s12909-025-07008-x","journal-title":"BMC Med Educ"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.76835","article-title":"Exploring medical artificial intelligence readiness among future physicians: insights from a medical college in Central India","volume":"17","author":"Dhurandhar D","year":"2025","unstructured":"Dhurandhar D, Dhamande M, C S, Bhadoria P, Chandrakar T, Agrawal J. Exploring medical artificial intelligence readiness among future physicians: insights from a medical college in Central India. Cureus. 2025, 17:e76835. 10.7759\/cureus.76835","journal-title":"Cureus"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.55489\/njcm.160920255559","article-title":"Attitude, readiness, and predictors of AI adoption among undergraduate medical students","volume":"16","author":"Sarkar M","year":"2025","unstructured":"Sarkar M, Sain S, Mukhopadhyay P, Sarkar AP. Attitude, readiness, and predictors of AI adoption among undergraduate medical students. Natl J Community Med. 2025, 16:859-66. 10.55489\/njcm.160920255559","journal-title":"Natl J Community Med"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1186\/s12909-025-07744-0","article-title":"Integrating artificial intelligence into medical education: a narrative systematic review of current applications, challenges, and future directions","volume":"25","author":"Ahsan Z","year":"2025","unstructured":"Ahsan Z. Integrating artificial intelligence into medical education: a narrative systematic review of current applications, challenges, and future directions. BMC Med Educ. 2025, 25:1187. 10.1186\/s12909-025-07744-0","journal-title":"BMC Med Educ"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1186\/s12909-025-07089-8","article-title":"Mapping the use of artificial intelligence in medical education: a scoping review","volume":"25","author":"Rinc\u00f3n EH","year":"2025","unstructured":"Rinc\u00f3n EH, Jimenez D, Aguilar LA, Fl\u00f3rez JM, Tapia \u00c1ER, Pe\u00f1uela CL. Mapping the use of artificial intelligence in medical education: a scoping review. BMC Med Educ. 2025, 25:526. 10.1186\/s12909-025-07089-8","journal-title":"BMC Med Educ"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.4103\/jmms.jmms_161_23","article-title":"Artificial intelligence in health care - a study on perceptions of and readiness for artificial intelligence in health-care professionals","volume":"26","author":"Tezpal M","year":"2024","unstructured":"Tezpal M, Ghosh S, Lalwani R, Yadav J, Yadav AK. Artificial intelligence in health care - a study on perceptions of and readiness for artificial intelligence in health-care professionals. Journal of Marine Medical Society. 2024, 26:376-81. 10.4103\/jmms.jmms_161_23","journal-title":"Journal of Marine Medical Society"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclinepi.2007.11.008","article-title":"The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies","volume":"61","author":"von Elm E","year":"2008","unstructured":"von Elm E, Altman DG, Egger M, Pocock SJ, G\u00f8tzsche PC, Vandenbroucke JP. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol. 2008, 61:344-9. 10.1016\/j.jclinepi.2007.11.008","journal-title":"J Clin Epidemiol"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1186\/s12909-025-07621-w","article-title":"Readiness to use artificial intelligence: a comparative study among dental faculty members and students","volume":"25","author":"Yazdi NA","year":"2025","unstructured":"Yazdi NA, Zamaniahari U, KhadiviMaleki H, Hasanabadi P. Readiness to use artificial intelligence: a comparative study among dental faculty members and students. BMC Med Educ. 2025, 25:1006. 10.1186\/s12909-025-07621-w","journal-title":"BMC Med Educ"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1177\/23821205251339226","article-title":"A training needs analysis for AI and generative AI in medical education: perspectives of faculty and students","volume":"12","author":"McCoy L","year":"2025","unstructured":"McCoy L, Ganesan N, Rajagopalan V, McKell D, Ni\u00f1o DF, Swaim MC. A training needs analysis for AI and generative AI in medical education: perspectives of faculty and students. J Med Educ Curric Dev. 2025, 12:23821205251339226. 10.1177\/23821205251339226","journal-title":"J Med Educ Curric Dev"},{"key":"ref25","article-title":"Factors affecting faculty members\u2019 readiness to integrate artificial intelligence into their teaching practices: a study from the Saudi higher education context","volume":"22","author":"Alnasib BN","year":"2023","unstructured":"Alnasib BN. Factors affecting faculty members\u2019 readiness to integrate artificial intelligence into their teaching practices: a study from the Saudi higher education context. Int J Learn Teach Educ Res. 2023, 22:465-91.","journal-title":"Int J Learn Teach Educ Res"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.21649\/akemu.v31ispl2.6154","article-title":"Perception, knowledge and institutional readiness for artificial intelligence among basic science teaching faculty of public and private medical colleges of Faisalabad","volume":"31","author":"Bukhari M","year":"2025","unstructured":"Bukhari M, Khan H, Kanwal S, Hussain N, Habiba U, Asif M. Perception, knowledge and institutional readiness for artificial intelligence among basic science teaching faculty of public and private medical colleges of Faisalabad. Ann King Edw Med Univ. 2025, 31:162-7. 10.21649\/akemu.v31ispl2.6154","journal-title":"Ann King Edw Med Univ"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.64377","article-title":"Exploring faculty preparedness for artificial intelligence-driven dental education: a multicentre study","volume":"16","author":"Al-Zubaidi SM","year":"2024","unstructured":"Al-Zubaidi SM, Muhammad Shaikh G, Malik A, Zain Ul Abideen M, Tareen J, Alzahrani NS, Ahmed Siddiqui A. Exploring faculty preparedness for artificial intelligence-driven dental education: a multicentre study. Cureus. 2024, 16:e64377. 10.7759\/cureus.64377","journal-title":"Cureus"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.46425\/cjed1201029055","article-title":"Opportunity or threat: investigating faculty readiness to adopt artificial intelligence in higher education","volume":"1","author":"Jackman GA","year":"2025","unstructured":"Jackman GA, Marshall IA, Carrington T. Opportunity or threat: investigating faculty readiness to adopt artificial intelligence in higher education. CJED. 2025, 1:47-70. 10.46425\/cjed1201029055","journal-title":"CJED"}],"container-title":["Cureus"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cureus.com\/articles\/520834-readiness-and-perception-toward-artificial-intelligence-among-undergraduate-medical-students-at-a-tertiary-care-teaching-institute-a-cross-sectional-study","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,2]],"date-time":"2026-08-02T19:12:19Z","timestamp":1785697939000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cureus.com\/articles\/520834-readiness-and-perception-toward-artificial-intelligence-among-undergraduate-medical-students-at-a-tertiary-care-teaching-institute-a-cross-sectional-study"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,2]]},"references-count":28,"URL":"https:\/\/doi.org\/10.7759\/cureus.113804","relation":{},"ISSN":["2168-8184"],"issn-type":[{"value":"2168-8184","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8,2]]}}}